CamPyRoS - A 6DOF Rocket Trajectory Simulator

CamPyRoS (Cambridge Python Rocketry Simulator) is a Python package which provides fully featured rocket trajectory simulation including features like:

• 6 degrees of freedom (3 translational, 3 rotational)
• Monte Carlo stochastic analysis
• Aerodynamic heating model
• Use of live wind data
• Variable mass and moments of inertia models

Getting started

Currently not all dependancies are supported by the same install methods so the easiest install doesn't contain the full functionality. To install the core library:

pip install git+https://github.com/cuspaceflight/CamPyRoS.git

Statistics has a dependancy not fully supported by windows, to install it:

pip install ray on most platforms, for Windows problems see here.

If you don't install this the statistics module will run but only single threaded which will be extremely slow.

Usage

The repository contains some examples you can run:

• example.ipynb or example.py : Launch of a simple rocket (the Martlet 4).
• Stats Model Example.ipynb : Example of how to use the statistics model and stochastic analysis.
• Aerodynamic Heating Example.ipynb : Example of how to run an aerodynamic heating simulation.

Helping out

If you would like to contribute please have a look at the guidelines

In progress

• GUI: An incomplete (and outdated) GUI has been made using Tkinter, and is in gui.py.
• Slosh modelling: Some slosh modelling functions have been put together in slosh.py, based on the following source - The Dynamic Behavior of Liquids in Moving Containers, with Applications to Space Vehicle Technology.
• Wind variability: Statistical analysis of historic wind forecasts and obervations are analysed to create a Guassian difference profile to vary the wind in the statistical models (see wind-stats branch for a very poorly documented insight to current progress)

Potential for expansion

• Multistage rockets
• Fin cant, roll damping, and roll acceleration: OpenRocket Technical Documentation
• CFD coupling: PyFoam, Simulations of 6-DOF Motion with a Cartesian Method
• Multiphysics coupling: PRECICE

Cite as

Daniel Gibbons, & Jago Strong-Wright. (2021, February 11). cuspaceflight/CamPyRoS: First release! (Version V1.0). Zenodo. http://doi.org/10.5281/zenodo.4535672

Main References

[1] - Stochastic Six-Degree-of-Freedom Flight Simulator for Passively Controlled High-Power Rockets

[2] - Tangent ogive nose aerodynamic heating program: NQLD019

Additional References

[3] - NASA Basic Considerations for Rocket Trajectory Simulation

[4] - SIX DEGREE OF FREEDOM DIGITAL SIMULATION MODEL FOR UNGUIDED FIN-STABILIZED ROCKETS

[5] - Trajectory Prediction for a Typical Fin Stabilized Artillery Rocket

[6] - Central Limit Theorem and Sample Size

[7] - Monte Carlo Simulations: Number of Iterations and Accuracy

[8] - Method for Calculating Aerodynamic Heating on Sounding Rocket Tangent Ogive Noses

[9] - Six degree-of-freedom (6-DOF) Flight Simulation Check-cases